Overview

Dataset statistics

Number of variables12
Number of observations632
Missing cells768
Missing cells (%)10.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.0 KiB
Average record size in memory97.2 B

Variable types

Numeric1
Categorical3
Text3
Boolean5

Dataset

Description○ 강원특별자치도 18개 시군에서 운영 중인 주유소 현황 - 주유소 소재지 및 주소, 상호명, 전화번호 - 셀프주유 가능 여부 - 취급 유종
URLhttps://www.data.go.kr/data/15119073/fileData.do

Alerts

지역 has constant value ""Constant
고급휘발유 has constant value ""Constant
휘발유 has constant value ""Constant
경유 has constant value ""Constant
실내등유 has constant value ""Constant
연번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 연번High correlation
고급휘발유 has 560 (88.6%) missing valuesMissing
실내등유 has 201 (31.8%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:59:01.938929
Analysis finished2023-12-12 04:59:03.108739
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct632
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.5
Minimum1
Maximum632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T13:59:03.195112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.55
Q1158.75
median316.5
Q3474.25
95-th percentile600.45
Maximum632
Range631
Interquartile range (IQR)315.5

Descriptive statistics

Standard deviation182.58697
Coefficient of variation (CV)0.57689405
Kurtosis-1.2
Mean316.5
Median Absolute Deviation (MAD)158
Skewness0
Sum200028
Variance33338
MonotonicityStrictly increasing
2023-12-12T13:59:03.369251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
426 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
425 1
 
0.2%
427 1
 
0.2%
Other values (622) 622
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
632 1
0.2%
631 1
0.2%
630 1
0.2%
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
강원특별자치도
632 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원특별자치도
2nd row강원특별자치도
3rd row강원특별자치도
4th row강원특별자치도
5th row강원특별자치도

Common Values

ValueCountFrequency (%)
강원특별자치도 632
100.0%

Length

2023-12-12T13:59:03.556590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:59:03.671102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 632
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
원주
107 
강릉
81 
춘천
75 
홍천
48 
평창
34 
Other values (13)
287 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row춘천
2nd row춘천
3rd row춘천
4th row춘천
5th row춘천

Common Values

ValueCountFrequency (%)
원주 107
16.9%
강릉 81
12.8%
춘천 75
11.9%
홍천 48
 
7.6%
평창 34
 
5.4%
삼척 32
 
5.1%
동해 31
 
4.9%
횡성 28
 
4.4%
인제 27
 
4.3%
정선 26
 
4.1%
Other values (8) 143
22.6%

Length

2023-12-12T13:59:03.789619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원주 107
16.9%
강릉 81
12.8%
춘천 75
11.9%
홍천 48
 
7.6%
평창 34
 
5.4%
삼척 32
 
5.1%
동해 31
 
4.9%
횡성 28
 
4.4%
인제 27
 
4.3%
정선 26
 
4.1%
Other values (8) 143
22.6%

상호
Text

Distinct605
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T13:59:04.136593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length7.8924051
Min length4

Characters and Unicode

Total characters4988
Distinct characters353
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique586 ?
Unique (%)92.7%

Sample

1st row(주)원일유통 춘천
2nd row춘천강동농협주유소
3rd row엘리시안강촌주유소
4th row구도일주유소 춘천
5th row신포주유소
ValueCountFrequency (%)
hd현대오일뱅크㈜직영 19
 
2.6%
sk에너지(주 8
 
1.1%
강원주유소 5
 
0.7%
cj대한통운㈜ 5
 
0.7%
대성주유소 4
 
0.5%
구도일주유소 4
 
0.5%
동국주유소 4
 
0.5%
제일주유소 3
 
0.4%
중앙주유소 3
 
0.4%
대영주유소 3
 
0.4%
Other values (640) 671
92.0%
2023-12-12T13:59:04.718625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 702
 
14.1%
소 631
 
12.7%
유 615
 
12.3%
97
 
1.9%
( 96
 
1.9%
) 96
 
1.9%
대 70
 
1.4%
농 70
 
1.4%
지 69
 
1.4%
협 68
 
1.4%
Other values (343) 2474
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4461
89.4%
Uppercase Letter 136
 
2.7%
Space Separator 97
 
1.9%
Open Punctuation 96
 
1.9%
Close Punctuation 96
 
1.9%
Other Symbol 37
 
0.7%
Lowercase Letter 33
 
0.7%
Other Punctuation 18
 
0.4%
Decimal Number 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 702
 
15.7%
소 631
 
14.1%
유 615
 
13.8%
대 70
 
1.6%
농 70
 
1.6%
지 69
 
1.5%
협 68
 
1.5%
일 57
 
1.3%
동 56
 
1.3%
강 54
 
1.2%
Other values (308) 2069
46.4%
Uppercase Letter
ValueCountFrequency (%)
S 29
21.3%
K 24
17.6%
H 20
14.7%
D 20
14.7%
C 11
 
8.1%
I 10
 
7.4%
J 5
 
3.7%
O 4
 
2.9%
G 3
 
2.2%
A 2
 
1.5%
Other values (6) 8
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 4
28.6%
3 2
14.3%
2 2
14.3%
7 1
 
7.1%
4 1
 
7.1%
8 1
 
7.1%
5 1
 
7.1%
0 1
 
7.1%
9 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
l 8
24.2%
f 8
24.2%
e 8
24.2%
s 7
21.2%
k 2
 
6.1%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 37
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4498
90.2%
Common 321
 
6.4%
Latin 169
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 702
 
15.6%
소 631
 
14.0%
유 615
 
13.7%
대 70
 
1.6%
농 70
 
1.6%
지 69
 
1.5%
협 68
 
1.5%
일 57
 
1.3%
동 56
 
1.2%
강 54
 
1.2%
Other values (309) 2106
46.8%
Latin
ValueCountFrequency (%)
S 29
17.2%
K 24
14.2%
H 20
11.8%
D 20
11.8%
C 11
 
6.5%
I 10
 
5.9%
l 8
 
4.7%
f 8
 
4.7%
e 8
 
4.7%
s 7
 
4.1%
Other values (11) 24
14.2%
Common
ValueCountFrequency (%)
97
30.2%
( 96
29.9%
) 96
29.9%
/ 18
 
5.6%
1 4
 
1.2%
3 2
 
0.6%
2 2
 
0.6%
7 1
 
0.3%
4 1
 
0.3%
8 1
 
0.3%
Other values (3) 3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4461
89.4%
ASCII 490
 
9.8%
None 37
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 702
 
15.7%
소 631
 
14.1%
유 615
 
13.8%
대 70
 
1.6%
농 70
 
1.6%
지 69
 
1.5%
협 68
 
1.5%
일 57
 
1.3%
동 56
 
1.3%
강 54
 
1.2%
Other values (308) 2069
46.4%
ASCII
ValueCountFrequency (%)
97
19.8%
( 96
19.6%
) 96
19.6%
S 29
 
5.9%
K 24
 
4.9%
H 20
 
4.1%
D 20
 
4.1%
/ 18
 
3.7%
C 11
 
2.2%
I 10
 
2.0%
Other values (24) 69
14.1%
None
ValueCountFrequency (%)
㈜ 37
100.0%

주소
Text

Distinct631
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T13:59:05.069009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length19.281646
Min length13

Characters and Unicode

Total characters12186
Distinct characters229
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique630 ?
Unique (%)99.7%

Sample

1st row강원 춘천시 동내면 영서로 1432 춘천휴게소(내)SK주유소
2nd row강원 춘천시 동면 춘천로 469
3rd row강원 춘천시 서면 경춘로 1014
4th row강원 춘천시 춘천로 40(퇴계동)
5th row강원 춘천시 사북면 영서로 4927
ValueCountFrequency (%)
강원 608
 
19.5%
원주시 107
 
3.4%
강릉시 81
 
2.6%
춘천시 75
 
2.4%
동해대로 63
 
2.0%
홍천군 48
 
1.5%
평창군 34
 
1.1%
삼척시 32
 
1.0%
동해시 31
 
1.0%
횡성군 28
 
0.9%
Other values (954) 2012
64.5%
2023-12-12T13:59:05.634942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2493
20.5%
원 851
 
7.0%
강 792
 
6.5%
로 605
 
5.0%
시 380
 
3.1%
1 373
 
3.1%
동 345
 
2.8%
면 302
 
2.5%
2 270
 
2.2%
군 266
 
2.2%
Other values (219) 5509
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7191
59.0%
Space Separator 2493
 
20.5%
Decimal Number 2106
 
17.3%
Open Punctuation 181
 
1.5%
Close Punctuation 181
 
1.5%
Dash Punctuation 32
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 851
 
11.8%
강 792
 
11.0%
로 605
 
8.4%
시 380
 
5.3%
동 345
 
4.8%
면 302
 
4.2%
군 266
 
3.7%
천 204
 
2.8%
주 121
 
1.7%
읍 119
 
1.7%
Other values (203) 3206
44.6%
Decimal Number
ValueCountFrequency (%)
1 373
17.7%
2 270
12.8%
3 259
12.3%
4 224
10.6%
5 199
9.4%
6 176
8.4%
0 155
7.4%
7 153
7.3%
8 150
7.1%
9 147
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
2493
100.0%
Open Punctuation
ValueCountFrequency (%)
( 181
100.0%
Close Punctuation
ValueCountFrequency (%)
) 181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7191
59.0%
Common 4993
41.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 851
 
11.8%
강 792
 
11.0%
로 605
 
8.4%
시 380
 
5.3%
동 345
 
4.8%
면 302
 
4.2%
군 266
 
3.7%
천 204
 
2.8%
주 121
 
1.7%
읍 119
 
1.7%
Other values (203) 3206
44.6%
Common
ValueCountFrequency (%)
2493
49.9%
1 373
 
7.5%
2 270
 
5.4%
3 259
 
5.2%
4 224
 
4.5%
5 199
 
4.0%
( 181
 
3.6%
) 181
 
3.6%
6 176
 
3.5%
0 155
 
3.1%
Other values (4) 482
 
9.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7191
59.0%
ASCII 4995
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2493
49.9%
1 373
 
7.5%
2 270
 
5.4%
3 259
 
5.2%
4 224
 
4.5%
5 199
 
4.0%
( 181
 
3.6%
) 181
 
3.6%
6 176
 
3.5%
0 155
 
3.1%
Other values (6) 484
 
9.7%
Hangul
ValueCountFrequency (%)
원 851
 
11.8%
강 792
 
11.0%
로 605
 
8.4%
시 380
 
5.3%
동 345
 
4.8%
면 302
 
4.2%
군 266
 
3.7%
천 204
 
2.8%
주 121
 
1.7%
읍 119
 
1.7%
Other values (203) 3206
44.6%

상표
Categorical

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
SK에너지
168 
HD현대오일뱅크
134 
GS칼텍스
118 
S-OIL
109 
NH-OIL
67 
Other values (3)
36 

Length

Max length8
Median length5
Mean length5.7705696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row알뜰주유소
2nd rowNH-OIL
3rd rowHD현대오일뱅크
4th rowS-OIL
5th rowS-OIL

Common Values

ValueCountFrequency (%)
SK에너지 168
26.6%
HD현대오일뱅크 134
21.2%
GS칼텍스 118
18.7%
S-OIL 109
17.2%
NH-OIL 67
 
10.6%
알뜰(ex) 21
 
3.3%
알뜰주유소 12
 
1.9%
자가상표 3
 
0.5%

Length

2023-12-12T13:59:05.885872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:59:06.096384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sk에너지 168
26.6%
hd현대오일뱅크 134
21.2%
gs칼텍스 118
18.7%
s-oil 109
17.2%
nh-oil 67
 
10.6%
알뜰(ex 21
 
3.3%
알뜰주유소 12
 
1.9%
자가상표 3
 
0.5%

전화번호
Text

Distinct625
Distinct (%)99.5%
Missing4
Missing (%)0.6%
Memory size5.1 KiB
2023-12-12T13:59:06.414109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.987261
Min length1

Characters and Unicode

Total characters7528
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique622 ?
Unique (%)99.0%

Sample

1st row033-264-0391
2nd row033-254-0058
3rd row033-263-6923
4th row033-252-0336
5th row033-243-5188
ValueCountFrequency (%)
033-573-8558 2
 
0.3%
033-522-0202 2
 
0.3%
033-734-5182 2
 
0.3%
033-672-7222 1
 
0.2%
033-345-5150 1
 
0.2%
033-343-6578 1
 
0.2%
033-344-5182 1
 
0.2%
033-264-0391 1
 
0.2%
033-345-1113 1
 
0.2%
033-342-8558 1
 
0.2%
Other values (615) 615
97.9%
2023-12-12T13:59:06.975155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1781
23.7%
- 1255
16.7%
0 967
12.8%
5 640
 
8.5%
4 526
 
7.0%
1 505
 
6.7%
2 497
 
6.6%
6 449
 
6.0%
7 390
 
5.2%
8 344
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6273
83.3%
Dash Punctuation 1255
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1781
28.4%
0 967
15.4%
5 640
 
10.2%
4 526
 
8.4%
1 505
 
8.1%
2 497
 
7.9%
6 449
 
7.2%
7 390
 
6.2%
8 344
 
5.5%
9 174
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1781
23.7%
- 1255
16.7%
0 967
12.8%
5 640
 
8.5%
4 526
 
7.0%
1 505
 
6.7%
2 497
 
6.6%
6 449
 
6.0%
7 390
 
5.2%
8 344
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1781
23.7%
- 1255
16.7%
0 967
12.8%
5 640
 
8.5%
4 526
 
7.0%
1 505
 
6.7%
2 497
 
6.6%
6 449
 
6.0%
7 390
 
5.2%
8 344
 
4.6%

셀프여부
Boolean

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
False
357 
True
275 
ValueCountFrequency (%)
False 357
56.5%
True 275
43.5%
2023-12-12T13:59:07.161127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

고급휘발유
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)1.4%
Missing560
Missing (%)88.6%
Memory size1.4 KiB
True
72 
(Missing)
560 
ValueCountFrequency (%)
True 72
 
11.4%
(Missing) 560
88.6%
2023-12-12T13:59:07.286838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

휘발유
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing3
Missing (%)0.5%
Memory size1.4 KiB
True
629 
(Missing)
 
3
ValueCountFrequency (%)
True 629
99.5%
(Missing) 3
 
0.5%
2023-12-12T13:59:07.388330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

경유
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
True
632 
ValueCountFrequency (%)
True 632
100.0%
2023-12-12T13:59:07.496161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

실내등유
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing201
Missing (%)31.8%
Memory size1.4 KiB
True
431 
(Missing)
201 
ValueCountFrequency (%)
True 431
68.2%
(Missing) 201
31.8%
2023-12-12T13:59:07.606660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T13:59:02.555801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:59:07.685791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군명상표셀프여부
연번1.0000.9730.1770.271
시군명0.9731.0000.0870.326
상표0.1770.0871.0000.256
셀프여부0.2710.3260.2561.000
2023-12-12T13:59:07.818502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명셀프여부상표
시군명1.0000.2540.036
셀프여부0.2541.0000.191
상표0.0360.1911.000
2023-12-12T13:59:07.970841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군명상표셀프여부
연번1.0000.8580.0850.206
시군명0.8581.0000.0360.254
상표0.0850.0361.0000.191
셀프여부0.2060.2540.1911.000

Missing values

2023-12-12T13:59:02.694907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:59:02.887303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T13:59:03.042925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번지역시군명상호주소상표전화번호셀프여부고급휘발유휘발유경유실내등유
01강원특별자치도춘천(주)원일유통 춘천강원 춘천시 동내면 영서로 1432 춘천휴게소(내)SK주유소알뜰주유소033-264-0391Y<NA>YY<NA>
12강원특별자치도춘천춘천강동농협주유소강원 춘천시 동면 춘천로 469NH-OIL033-254-0058Y<NA>YYY
23강원특별자치도춘천엘리시안강촌주유소강원 춘천시 서면 경춘로 1014HD현대오일뱅크033-263-6923Y<NA>YY<NA>
34강원특별자치도춘천구도일주유소 춘천강원 춘천시 춘천로 40(퇴계동)S-OIL033-252-0336Y<NA>YYY
45강원특별자치도춘천신포주유소강원 춘천시 사북면 영서로 4927S-OIL033-243-5188N<NA>YYY
56강원특별자치도춘천만남의광장주유소강원 춘천시 경춘로 2137HD현대오일뱅크033-244-5149N<NA>YY<NA>
67강원특별자치도춘천도성주유소강원 춘천시 신동면 경춘로 1766S-OIL033-261-3335N<NA>YYY
78강원특별자치도춘천구름다리주유소강원 춘천시 동면 후만로 137SK에너지033-264-7601Y<NA>YYY
89강원특별자치도춘천광장셀프주유소강원 춘천시 효자로 150SK에너지033-241-5185Y<NA>YYY
910강원특별자치도춘천남산농협 주유소 광판점강원 춘천시 남산면 종자리로 28NH-OIL033-262-8786Y<NA>YYY
연번지역시군명상호주소상표전화번호셀프여부고급휘발유휘발유경유실내등유
622623강원특별자치도양양HD현대오일뱅크(주)직영 동해주유소강원 양양군 양양읍 동해대로 2853HD현대오일뱅크033-671-1046NYYYY
623624강원특별자치도양양서울주유소강원 양양군 현남면 동해대로 603S-OIL033-671-1151Y<NA>YYY
624625강원특별자치도양양손양주유소강원 양양군 손양면 동해대로 2519SK에너지033-672-8282NYYYY
625626강원특별자치도양양양양송림주유소강원 양양군 양양읍 동해대로 3039S-OIL033-671-1747Y<NA>YY<NA>
626627강원특별자치도양양양양IC주유소강원 양양군 양양읍 설악로 2728SK에너지033-673-6777YYYYY
627628강원특별자치도양양동해우리주유소강원 양양군 현남면 동해대로 376SK에너지033-671-5178N<NA>YY<NA>
628629강원특별자치도양양SK에너지(주) 커피향셀프주유소강원 양양군 강현면 동해대로 3343SK에너지033-672-7222YYYY<NA>
629630강원특별자치도양양(주)낙산주유소강원 양양군 강현면 동해대로 3081GS칼텍스033-672-2871Y<NA>YY<NA>
630631강원특별자치도양양7GAS STATION강원 양양군 손양면 동해대로 1750S-OIL033-672-1750YYYY<NA>
631632강원특별자치도양양삼팔선주유소강원도 양양군 현북면 동해대로 1252SK에너지033-671-8988Y<NA>YY<NA>